- num_epochs on the diffusion train request and config: > 0 overrides train_steps with epochs x ceil(N / (batch x grad_accum)) optimizer steps, resolved against the dataset size in both the DiT and SDXL trainers - Train settings: run length control with a Steps / Epochs unit select - Stop dialog: flex-wrap footer so Stop and save wraps instead of clipping out of frame at narrow window widths |
||
|---|---|---|
| .. | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| data_recipe.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| mcp_servers.py | ||
| models.py | ||
| providers.py | ||
| responses.py | ||
| training.py | ||
| users.py | ||